Case Studies

Increasing Conversion and Engagement for a Premium Furniture Retailer with Tictag Insight

Client Overview

Industry: Retail
Solution: Tictag Insight AI

A premium furniture retailer partnered with Tictag to optimise in-store operations and enhance customer engagement. Projected results include a 50% increase in conversion rate, 10–25% higher average transaction value through bundle strategies, and 20–50% longer dwell time in previously underutilised zones. Read on to see how these improvements were achieved and the full operational impact.

 

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Background

The furniture retailer operates a high-traffic showroom, catering to both loyal high-intent buyers and general mall visitors. The store emphasises a premium showroom experience with high-quality products and seasonal promotions. Its mission is to deliver a seamless shopping journey while maximising sales efficiency and customer satisfaction.

Key Challenges

The store faced recurring issues impacting both revenue and customer experience:

  • Peak hour bottlenecks with staff stretched during late afternoon surges, risking missed interactions.
  • Underutilised zones where prime real estate saw low engagement.
  • Strong footfall not translating into finalised sales.
  • Sensitivity to competitor pricing during promotional gaps.

The Solutions

Tictag Insight provided actionable operational intelligence to address these challenges:

  • Optimise Staff Deployment: Track visitor flow and allocate staff during peak hours to reduce missed interactions.
  • Activate Underperforming Zones: Analyse dwell time to identify dead zones and guide visual merchandising adjustments.
  • Improve Conversion: Monitor customer journeys to identify high-intent visitors who leave unassisted and inform service strategies.
  • Protect Revenue: Detect patterns during competitor promotions to recommend tactical offers without impacting margins.

Implementation

  • Data Capture & Analysis: Monitored visitor movements, dwell times, and staff interactions using existing CCTV and sensors.
  • Actionable Insights: Generated comprehensive reports identifying peak hours, low-engagement zones, and high-intent visitors.
  • Pilot Optimisations: Recommended staff reallocation, zone activations, and tactical offers to increase conversion and transaction value.

Result & Business Impact

  • Conversion rate projected to increase by 50%
  • Average transaction value expected to rise 10–25% through upselling and bundling
  • Dwell time in previously low-traffic zones projected to increase 20–50%

Future Opportunities

  • Expand Tictag Insight across additional showroom locations
  • Optimise merchandising and staffing for new store formats
  • Integrate AI-driven upsell and cross-sell recommendations across all zones

Conclusion

Tictag not only deployed Tictag Insight to optimise operations but also delivered a comprehensive, actionable report enabling the retailer to make data-driven decisions. This approach empowers the store to convert high footfall into tangible sales while improving the overall customer experience.

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